Publications by authors named "Daniella DiPaola"

Article Synopsis
  • Empathy significantly favors human-written stories over AI-written ones, shown across multiple conditions regardless of participants' knowledge of authorship.
  • Transparency about the authorship of stories increases participants' willingness to empathize with AI narratives.
  • These findings highlight the importance of understanding empathy dynamics in the design of mental health chatbots and ethical considerations involving AI in storytelling.
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Artificial Intelligence (AI) is revolutionizing many industries and becoming increasingly ubiquitous in everyday life. To empower children growing up with AI to navigate society's evolving sociotechnical context, we developed three middle school AI literacy curricula: and In this paper we discuss how we leveraged three design principles-active learning, embedded ethics, and low barriers to access - to effectively engage students in learning to create and critique AI artifacts. During the summer of 2020, we recruited and trained in-service, middle school teachers from across the United States to co-instruct online workshops with students from their schools.

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The rapid expansion of artificial intelligence (AI) necessitates promoting AI education at the K-12 level. However, educating young learners to become AI literate citizens poses several challenges. The components of AI literacy are ill-defined and it is unclear to what extent middle school students can engage in learning about AI as a sociotechnical system with socio-political implications.

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